Search Results - subject:"NETWORKS"

An interpretable 1D-CNN framework for stock price forecasting : a comparative study with LSTM and ARIMA

Ranjan, Pallavi; Itani, Rania; Faccia, Alessio - In: FinTech 4 (2025) 4, pp. 1-20

. Among these approaches, Convolutional Neural Networks (CNNs), originally developed for spatial data, have shown strong …

Persistent link: https://www.econbiz.de/10015547438

Model development of dynamic receptive field for remote sensing imageries

Pushkarenko, Yurii; Zaslavskyi, Volodymyr - In: Technology audit and production reserves 1 (2025) 2/81, pp. 20-25

Persistent link: https://www.econbiz.de/10015549093

Deep learning in the sequence space

Azinovic-Yang, Marlon; Žemlička, Jan - 2025

Persistent link: https://www.econbiz.de/10015552804

Graph neural networks and explainable spillovers : global monetary and oil shocks in GCC financial markets

Morshed, Amer - In: Economies : open access journal 13 (2025) 11, pp. 1-25

This study investigates how global monetary and oil shocks propagate across advanced and pegged oil economies, focusing on the United States, Germany, the United Kingdom, Saudi Arabia, and the United Arab Emirates over the period 2015-2023. It examines which transmission channels-liquidity,...

Persistent link: https://www.econbiz.de/10015553237

Machine learning analysis of financial risk dynamics in micro-, small, and medium enterprises

Božović, Dražen; Perović, Nataša; Aleksić, Marinko; … - In: Risks : open access journal 13 (2025) 12, pp. 1-34

This study examines the use of artificial neural networks (ANNs) to classify financial risks in micro-, small-, and … inaccurate classification of high-risk MSMEs. By applying advanced machine learning (ML) techniques, neural networks (NNs) can …

Persistent link: https://www.econbiz.de/10015561615

Forecasting carbon emission allowance prices with deep learning models

Unal, Pinar; Guner, Seyma Nur - In: International Journal of Energy Economics and Policy : IJEEP 15 (2025) 6, pp. 531-542

Persistent link: https://www.econbiz.de/10015563982

Do machine learning techniques outperform autoregressive distributed lag models in inflation forecasting?

Oancea, Bogdan; Bratu, Mihaela; Pospisil, Richard - In: Prague economic papers : a bimonthly journal of … 34 (2025) 4, pp. 495-558

policy. This study compares modern machine learning (ML) methods - Long Short-Term Memory (LSTM) neural networks, Random …

Persistent link: https://www.econbiz.de/10015589533

A neural network-VAR for long-term forecasting : an application to monetary policy effects in the Euro area

Barro, Diana; Basso, Antonella; Corazza, Marco; … - 2025

Persistent link: https://www.econbiz.de/10015590415

Boosting epidemic forecasting performance with enhanced RNN-type models

Papageorgiou, Vasileios E. - In: Operational research : an international journal 25 (2025) 3, pp. 1-23

Persistent link: https://www.econbiz.de/10015593210

Machine learning applications to conditional asset pricing : attention, CNNs, and neural tangent kernels

Kuznetsov, Boris - 2025

Persistent link: https://www.econbiz.de/10015595115